Introduction

Artificial Intelligence is a key enabler in the development of smart cities and intelligent infrastructure systems.

This course provides advanced frameworks for integrating AI into urban planning, infrastructure optimization, and data-driven decision-making to build sustainable and future-ready cities.

Course Objectives

·         Understand the role of AI in smart city development.

·         Integrate AI into infrastructure planning and urban systems.

·         Enhance data-driven decision-making in city management.

·         Improve sustainability and operational efficiency through intelligent technologies.

Target Audience

·         Urban planners and city development authorities.

·         Infrastructure engineers and project managers.

·         Smart city and digital transformation leaders.

·         Policy makers and strategic planners.

Course Outline

Day 1: Foundations of AI in Smart Cities

1.      Introduction to smart city architecture and AI integration.

2.      Urban data ecosystems and digital governance models.

3.      AI-driven decision intelligence in city management.

4.      Ethical and regulatory considerations in AI urban systems.

Day 2: Intelligent Urban Infrastructure Systems

1.      AI applications in traffic and mobility optimization.

2.      Smart utility management (water, energy, waste).

3.      AI-driven environmental monitoring systems.

4.      Digital twins for urban infrastructure planning.

Day 3: Predictive Planning & Resource Optimization

1.      Urban demand forecasting using machine learning.

2.      Predictive infrastructure capacity modeling.

3.      AI-based risk mitigation in urban planning.

4.      Resource allocation optimization through data analytics.

Day 4: Smart Governance & Real-Time Monitoring

1.      Integrated command and control center systems.

2.      IoT-enabled smart infrastructure networks.

3.      Real-time performance dashboards for cities.

4.      Cybersecurity in smart city ecosystems.

Day 5: Practical Application & Strategy Development

1.      Case study of AI implementation in a smart city project.

2.      Designing an AI-enabled urban planning framework.

3.      ROI and sustainability assessment for smart technologies.

4.      Developing a strategic AI roadmap for city transformation.